The only MLB DFS optimizer that runs 100,000 Monte Carlo simulations per slate to find the lineups your competition can't.
Four stages. Zero guesswork. Every projection backed by real game logs and thousands of simulations.
Real-time depth charts, confirmed lineups, batting orders, Vegas lines, injury reports, and weather data flow in automatically.
ML models trained on thousands of box scores generate base projections. Adjusted for opposing pitcher, batting order, park factors, and implied runs.
100K correlated Monte Carlo sims with game-level and team-level correlation factors. Not independent draws — real teammate correlation.
Portfolio optimizer builds coordinated lineup sets with stack allocation, exposure caps, leverage scoring, and uniqueness enforcement.
Tournament-grade tools that used to take custom Python scripts and a math degree. Now it takes one click.
Up to 100,000 simulations per slate with correlated random score generation. Game-level and team-level correlation — because when the game goes over, the whole lineup eats.
CORRELATED SIMSGradient-boosted models trained on real box score data. Rolling 7/14/30-day windows, hot streak detection, pitcher matchup adjustments, and contextual factors baked in.
GRADIENT BOOSTINGSimulation win rate minus projected ownership. Instantly see who the field is sleeping on and who's chalk that doesn't deserve it. The edge GPP grinders need.
WIN RATE vs OWN%Configure 5-3, 4-4, 5-2-1, 4-3, or 5-2 stack types. Allocate primary and secondary stacking percentages per team. The optimizer enforces your game theory.
5 STACK TYPESBuild 20+ lineups as a coordinated set, not random one-offs. Global exposure caps, max overlap enforcement, and salary optimization across the entire portfolio.
COORDINATED SETSVegas odds, implied runs, confirmed lineups, batting orders, injuries, and weather — updated in real time. Never build on stale data again.
REAL-TIME UPDATESEveryone knows who the "best" plays are. The field piles in at 30-40% ownership on chalk. That's not an edge — that's a coin flip with bad odds.
Leverage scoring compares how often a player appears in simulated winning lineups versus how often the field will roster them. Positive leverage = underowned winner. Negative = overowned trap.
This is how GPP grinders separate from the pack. Not by picking the best players — by picking the best players that nobody else has.
Start free. Upgrade when you're winning.
Instead of using a single projection for each player, we generate 100,000 random game outcomes using correlated probability distributions. Players on the same team and in the same game are linked — when the game goes high-scoring, everyone benefits. This gives you a much more realistic picture of upside, floor, ceiling, and optimal lineups.
Leverage = simulation win rate minus projected ownership. If a player shows up in 15% of winning lineups but only 6% of the field rosters him, that's +9 leverage — a huge edge in GPPs. Negative leverage means the field is overvaluing a player relative to their actual win potential.
Currently we support DraftKings Classic and Showdown contest formats for MLB. We're built specifically for DK's salary structures, roster rules, and scoring. FanDuel support is on the roadmap.
We use gradient-boosted machine learning models trained on real MLB box scores. Features include rolling 7/14/30-day performance windows, opposing pitcher matchups, batting order position, Vegas implied runs, park factors, and weather conditions. Models are retrained as the season progresses.
Yes — Pro subscribers can export their lineup portfolios as CSV files formatted for direct upload to DraftKings. Build your lineups, hit export, upload to DK. That's it.
Absolutely. The free tier gives you access to blurred projections, up to 3 lineup builds per day, and both Classic and Showdown formats. No credit card required. Upgrade to Pro when you're ready for the full data and unlimited builds.
Free to start. No credit card. Projections go live when lineups lock.
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